@otuoma_erick Good examples of what tests are for. The missing Content-Type one is the kind of thing only a request-level test catches. Follow for more Pytest tips: https://t.co/QyuZPYpOpA
@therealshodan Nice. Worth checking they fail when the logic is wrong: break a line on purpose and see if a test goes red. Follow for more Pytest tips: https://t.co/QyuZPYpOpA
@tonyscantave Quiet wrong answers are the worst kind. Turning each bug into a parametrized test case is what keeps them from coming back. Follow for more Pytest tips: https://t.co/QyuZPYpOpA
@aintonio_dev Nice catch. A test that fails when local and CI commands drift apart is a great guard. SmartWyvern writes Pytest suites; only tests that pass get committed, failing ones get flagged for review. More Pytest tips: https://t.co/QyuZPYpOpA
@arantespp Coverage targets get gamed fast, agents included. Asserting on behavior beats hitting a number. SmartWyvern writes Pytest suites; only tests that pass get committed, failing ones get flagged for review. More Pytest tips: https://t.co/QyuZPYpOpA
@milhouscc Agree that coverage alone is too narrow. Small, pure functions are easy to test, and assertions on behavior matter more than the percentage.
@franzbruckhoff The part that's held up for me: tests written by someone who understands the behavior. Generated code without that is hard to trust or change later.
@Javimbuilds Good list. Review catches design problems, but a test that fails before the change and passes after gives a concrete way to confirm each finding.
@tinkerlog Naming the check before writing code is a solid habit. A passing unit test only covers the cases someone listed, so real usage fills the rest.
@lotar_vk A second model as reviewer is a good habit. Pair it with a test that fails on the reported issue first, so 'done' means that test now passes.
@eyalbd1 Fair point on content that shows up after launch. Pre-launch tests still catch the plain breakage, so production monitoring covers what they can't see.
@andreaslbigger Formal verification is great where a spec exists. For most app code, unit tests are still the cheap way to pin down what you meant. They answer different questions.
@benjamincrozat Nice cut on CI time. When AI makes tests faster, worth checking it didn't drop assertions along the way. A coverage report before and after tells you quickly.